Bollinger Band Scans

Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.

Live data
Signal Key: Overbought — price ≥ Upper Band Oversold — price ≤ Lower Band Squeeze — bandwidth near 20-day low Upper Walk — %B ≥ 80 (momentum) Lower Walk — %B ≤ 20 (weakness)
0
Overbought
0
Oversold
0
Squeeze ⚡
1
Upper Walk ▲
1
Lower Walk ▼
4
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 LTFTOP 268.6 +0.71% 296.61 278.54 260.47
22.5%
12.97%
38.19 77.90L — Normal
2 POWERGRIDTOP 285.65 +0.37% 314.16 296.57 278.98
18.96%
11.86%
30.61 69.55L ▼ Lower Walk
3 ADANIPORTSTOP 1824.2 +1.86% 1846.28 1784.28 1722.28
82.19%
6.95%
56.17 16.41L ▲ Upper Walk
4 LTTOP 3953.2 +0.28% 4070.66 3959.82 3848.98
47.01%
5.6%
56.55 12.78L — Normal

Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours

What Are Bollinger Bands?

Bollinger Bands is a popular technical indicator developed by analyst John Bollinger in the 1980s. It consists of three lines plotted around a simple moving average to measure market volatility and identify overbought or oversold conditions.

When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.

How to Use Bollinger Bands in Trading

Bollinger Band Formulas

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